MLA-C01 exam dumps

MLA-C01 practice question 418 of 458

AWS Certified Machine Learning Engineer - Associate. Associate level, Amazon Web Services. Free question with the correct answer and a full explanation.

MLA-C01 Question 418

Select 3

You are a Machine Learning Engineer working on an AWS SageMaker project for a client. The client reports that their AWS costs have been unexpectedly high and asks for your recommendation to analyze and optimize the costs of the ML workloads. Which tools or services would help you identify cost patterns and provide actionable recommendations?

  1. A

    AWS Cost Explorer

  2. B

    AWS Billing and Cost Management

  3. C

    AWS Trusted Advisor

  4. D

    AWS SageMaker Studio

  5. E

    Amazon CloudWatch

Show answer and explanation

Correct answers: A, B, C

Explanation

To effectively analyze and optimize AWS costs for machine learning workloads, you need tools that specialize in cost visualization, tracking, and actionable recommendations. AWS Cost Explorer helps you understand spending patterns, AWS Billing and Cost Management provides detailed cost reports and budgets, and AWS Trusted Advisor offers insights into potential savings. Tools such as SageMaker Studio and Amazon CloudWatch are valuable for ML development and monitoring, but they are not directly relevant for cost analysis or optimization.

  • A. Correct.

    AWS Cost Explorer is a cost analysis tool that allows you to visualize and analyze your AWS spending patterns over time. It can help identify trends and provide insights into cost drivers, making it suitable for understanding ML workload costs.

  • B. Correct.

    AWS Billing and Cost Management provides detailed billing reports, cost allocation tags, and budgets. It supports granular cost tracking and helps you stay within financial limits, making it valuable for cost optimization.

  • C. Correct.

    AWS Trusted Advisor provides recommendations for cost optimization, including identifying unused or underutilized resources. This makes it ideal for identifying savings opportunities in your ML workloads.

  • D. Incorrect.

    AWS SageMaker Studio is a fully integrated development environment for building, training, and deploying machine learning models. While it supports ML workflows, it is not designed for cost analysis or optimization.

  • E. Incorrect.

    Amazon CloudWatch is a monitoring and observability service used for logging, metrics, and alarms. While it can monitor resource usage, it is not specifically designed for cost analysis or optimization.

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